ITOX (IIOT-OXYS) Cyclically Adjusted PB Ratio: (As of Jul. 23, 2026)

Author: Vera Yuan Vera Yuan
Vera Yuan
Vera Yuan
Director of Data and Quant Analytics at GuruFocus
Focused on building reliable datasets, financial models, and research tools for value-minded investors. Committed to turning complex data into practical guidance for value-investing and long-term wealth.
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Charlie Tian
Charlie Tian
Founder & CEO of GuruFocus
Dr. Charlie Tian is the founder and CEO of GuruFocus.com, a leading global investment research platform established in 2004. With a Ph.D. in physics, Dr. Tian transitioned from science to finance, applying a data-driven, disciplined approach to value investing.

What is IIOT-OXYS Cyclically Adjusted PB Ratio?

Shiller PE for Stocks: The True Measure of Stock Valuation


IIOT-OXYS  (OTCPK:ITOX) Cyclically Adjusted PB Ratio Explanation

Compared with the regular PB Ratio, which works poorly for cyclical businesses, the Cyclically Adjusted PB Ratio smoothed out the fluctuations of book value during business cycles. Therefore it is more accurate in reflecting the valuation of the company.

If a company has consistent business performance, the Cyclically Adjusted PB Ratio should give similar results to regular PB Ratio.


IIOT-OXYS Cyclically Adjusted PB Ratio Related Terms


IIOT-OXYS Cyclically Adjusted PB Ratio Historical Data

* Premium members only.

The historical data trend for IIOT-OXYS's Cyclically Adjusted PB Ratio can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

IIOT-OXYS Cyclically Adjusted PB Ratio Chart

IIOT-OXYS Annual Data
Trend Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23 Dec24 Dec25
Cyclically Adjusted PB Ratio
Get a 7-Day Free Trial Premium Member Only Premium Member Only 2.07 0.00 0.00 0.00 0.00

IIOT-OXYS Quarterly Data
Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25 Mar26
Cyclically Adjusted PB Ratio Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.00 0.00 0.00 0.00 0.00

ITOX vs DDDX, ZSPC, SNDK: Cyclically Adjusted PB Ratio Comparison

For the Computer Hardware subindustry, IIOT-OXYS's Cyclically Adjusted PB Ratio, along with its competitors' market caps and Cyclically Adjusted PB Ratio data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


IIOT-OXYS Cyclically Adjusted PB Ratio vs Hardware Industry

For the Hardware industry and Technology sector, IIOT-OXYS's Cyclically Adjusted PB Ratio distribution charts can be found below:

* The bar in red indicates where IIOT-OXYS's Cyclically Adjusted PB Ratio falls into.



IIOT-OXYS Cyclically Adjusted PB Ratio Calculation

Like the Shiller PE Ratio, the Cyclically Adjusted PB Ratio takes the Book Value per Share from the past 10 years, adjusts it for inflation, and then calculates the average. This average is then used for the P/B calculation. Because it considers this 10-year average, it's often referred to as the CAPB Ratio.

The Shiller PE Ratio was first used by professor Robert Shiller to measure the valuation of the overall market. The similar calculation is applied by GuruFocus to calculate the Cyclically Adjusted PB Ratio.

IIOT-OXYS's Cyclically Adjusted Book per Share for the quarter that ended in Mar. 2026 is calculated as:

For example, IIOT-OXYS's adjusted Book Value per Share data for the three months ended in Mar. 2026 was:

Adj_Book=Book Value per Share/CPI of Mar. 2026 (Change)*Current CPI (Mar. 2026)
=-0.006/330.2130*330.2130
=-0.006

Current CPI (Mar. 2026) = 330.2130.

IIOT-OXYS Quarterly Data

Book Value per Share CPI Adj_Book
201606 -0.001 241.018 -0.001
201609 0.002 241.428 0.003
201612 0.103 241.432 0.141
201703 -0.002 243.801 -0.003
201706 -0.002 244.955 -0.003
201709 0.007 246.819 0.009
201712 0.002 246.524 0.003
201803 0.008 249.554 0.011
201806 -0.003 251.989 -0.004
201809 -0.009 252.439 -0.012
201812 -0.013 251.233 -0.017
201903 -0.027 254.202 -0.035
201906 -0.038 256.143 -0.049
201909 -0.040 256.759 -0.051
201912 -0.044 256.974 -0.057
202003 -0.036 258.115 -0.046
202006 -0.019 257.797 -0.024
202009 -0.021 260.280 -0.027
202012 -0.018 260.474 -0.023
202103 -0.011 264.877 -0.014
202106 -0.007 271.696 -0.009
202109 -0.007 274.310 -0.008
202112 -0.006 278.802 -0.007
202203 -0.007 287.504 -0.008
202206 -0.006 296.311 -0.007
202209 -0.005 296.808 -0.006
202212 -0.005 296.797 -0.006
202303 -0.005 301.836 -0.005
202306 -0.005 305.109 -0.005
202309 -0.006 307.789 -0.006
202312 -0.006 306.746 -0.006
202403 -0.005 312.332 -0.005
202406 -0.006 314.175 -0.006
202409 -0.006 315.301 -0.006
202412 -0.006 315.605 -0.006
202503 -0.006 319.799 -0.006
202506 -0.006 322.561 -0.006
202509 -0.007 324.800 -0.007
202512 -0.006 324.054 -0.006
202603 -0.006 330.213 -0.006

Add all the adjusted book value per share together and divide the count will get our Cyclically Adjusted Book per Share.

Please note that we use the CPI data of the country/region where the company is headquartered. If the CPI data for that country/region is not available, then we will use the CPI data of the United States as default.


IIOT-OXYS Business Description

Address 705 Cambridge Street, Cambridge, MA, USA, 02141
IIOT-OXYS Inc is a technology company at the intersection of Industrial Internet of Things (IIoT), Artificial Intelligence (AI) & Machine Learning, Edge Computing, and Manufacturing Operations. The company develops hardware, software, and algorithms that monitor, measure, and predict conditions for energy, structural, agricultural, and medical applications. The company uses domain-specific Artificial Intelligence to solve industrial and environmental challenges. It provides actionable mission-critical insights for the Medical/Pharmaceutical, Manufacturing, Agriculture, Defense, Structural Health, and other industries.